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mqtl-classification-using-dnabert-6

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mqtl-classification-using-dnabert-6

91 kB

2 contributors

History: 18 commits

Soumic

:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50%

d06b274 about 1 year ago

.env_sample
30 Bytes

:hammer_and_pick: Update dnabert6 classifier to run on huggingface over 1 year ago
.gitattributes
1.52 kB

initial commit over 1 year ago
.gitignore
3.27 kB

:see_no_evil: Update the gitignore file about 1 year ago
Dockerfile
1.06 kB

:lady_beetle: Fix cache folder permissions over 1 year ago
README.md
474 Bytes

:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50% about 1 year ago
app_v1_backup.py
13.5 kB

:zap: Ready the app.py for next experiment. Looks ok about 1 year ago
app_v2.py
19.3 kB

:hammer_and_pick: Move old code to app_v2.py, and rewrite app.py just like hyenadna finetune about 1 year ago
failed_app.py
13.4 kB

:zap: Ready the app.py for next experiment. Looks ok about 1 year ago
failed_app_v3.py
19.4 kB

:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50% about 1 year ago
failed_app_v4.py
18.4 kB

:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50% about 1 year ago
requirements.txt
581 Bytes

:hammer_and_pick: Update dnabert6 classifier to run on huggingface over 1 year ago